Published Paper Details:

Power transformers are one of the most critical and expensive components in power generation, transmission, and distribution systems. Any unexpected failure of a transformer can result in major power outages, economic losses, and damage to connected equipment. Therefore, continuous monitoring of transformer health parameters is essential to ensure reliability and long service life. This project presents the design and implementation of a Transformer Health Monitoring System using Internet of Things (IoT) technology. The system continuously monitors key parameters such as winding temperature, oil temperature, oil level, load current, supply voltage, and gas formation inside transformer oil. Sensors are interfaced with a microcontroller, which processes the data and transmits it to a cloud platform for real-time monitoring. Alerts are generated automatically when parameters exceed safe operating limits. The proposed system provides predictive maintenance, reduces manual inspection, improves transformer reliability, and enhances overall power system efficiency.